Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Radboud University
- Erasmus University Rotterdam
- Vrije Universiteit Amsterdam (VU)
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- ;
- Leiden University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University of Twente
- Wetsus - European centre of excellence for sustainable water technology
- DIFFER
- Delft University of Technology
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- 13 more »
- « less
-
Field
-
PhD Position in Statistical Physics & Data-Driven Viral Evolution Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
-
with conducting psychological experiments, including familiarity with experimental design, data collection, and ethical procedures Initial experience with data analysis, demonstrating the ability
-
analysis is highly desirable. Experience with Earth observation or remote sensing data is a strong plus. Proficiency in programming in Python and experience with PyTorch, Scikit-Learn, or related modern
-
found here . Information on the Analysis group can be found at here . The appointment is for 4 years. The starting date is flexible, with September 2026 as a guideline. Throughout the PhD, you will be
-
(e.stamkou@uva.nl ). Where to apply Website https://www.academictransfer.com/en/jobs/359879/phd-position-how-performing-art… Requirements Additional Information Website for additional job details https
-
activity (if applicable), language proficiency, and any other relevant information; a letter of motivation, stating your reasons for applying, why your background and (inter)disciplinary training fit the PhD
-
, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
-
qualitative data to study how parents’ social network connections and resources shape their children’s career outcomes. As a PhD candidate, you will work on your own project within the SHINE programme. The aim
-
innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
-
strategies that strengthen skills, jobs, and workforce resilience towards 2050. Join our team to drive innovations that support urban resilience. This is your chance to make a real impact! Information As a PhD